What file format do I receive?

CSV — UTF-8 encoded, comma-separated, Excel/Google Sheets compatible. 23 columns including company name, full address, phone and secondary phone, email, website, category, Google rating and review count, WhatsApp and social profiles, coordinates, and a match_type column telling you how each row matched what you bought.

How is the data collected and kept current?

Every record is compiled from public sources — Google Maps, business directories and official websites. Your file is built from the live database at the moment you buy, and rows with no usable phone number are never included.

How soon after purchase can I download the CSV?

Within 30 seconds of successful payment. The CSV is generated fresh from our live database at purchase time, so you always get the latest records — not a stale snapshot. You also get 7 days of unlimited downloads using a secure link sent by email.

Is the data GDPR / DPDP compliant?

We collect only publicly listed business contact information (company lines, work emails, business addresses). No personal consumer data is included. You are responsible for complying with the marketing laws of the jurisdictions you contact.

Can I get a sample before buying?

Yes — request a free sample on this page and we generate one for your exact filters, up to 99 rows, using the same columns as the paid file so you can check it against your CRM. It is sent to the work email you enter.

Updated: Aug 20, 2026

🌐 Manufacturing Unit Database of United States Latest September 2026 Updated

Q: How many records are in Manufacturing Unit Database of United States Latest September 2026 Updated?

This database contains 46,482 records.

Q: What is the price of Manufacturing Unit Database of United States Latest September 2026 Updated?

$656.40. Buyers outside India see prices in their local currency at checkout.

Unlock actionable insights and supercharge your sales pipeline. Download this verified, analysis-ready dataset today.

Rows (Regular)23,241

Rows (Extended)46,482

Sales0

CountryUnited States

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Coverage across United States

This dataset covers 51,130 records spread across 200 states in United States, ready for outreach, segmentation and CRM import.

The largest states by record count are Morristown (1,218), Houston (1,134), Chicago (735), New York (633), Minneapolis (633), Atlanta (496), Milwaukee (422), and Saint Louis (390).

Additional coverage spans Dallas (384), Saint Paul (371), Pittsburgh (343), San Diego (342), Cincinnati (327), Portland (302), Cleveland (302), Los Angeles (290), Columbus (281), Torrance (272), Fairfield (270), Northfield (269) , plus 180 more states.

Coverage in United States — by state

Total rows:51,130 With mobile:51,130 With website:51,130

States	Total	With mobile	With website
Morristown	1,218	1,218	1,218
Houston	1,134	1,134	1,134
Chicago	735	735	735
New York	633	633	633
Minneapolis	633	633	633
Atlanta	496	496	496
Milwaukee	422	422	422
Saint Louis	390	390	390
Dallas	384	384	384
Saint Paul	371	371	371
Pittsburgh	343	343	343
San Diego	342	342	342
Cincinnati	327	327	327
Portland	302	302	302
Cleveland	302	302	302
Los Angeles	290	290	290
Columbus	281	281	281
Torrance	272	272	272
Fairfield	270	270	270
Northfield	269	269	269
Lake Forest	264	264	264
Irving	261	261	261
Charlotte	260	260	260
Dearborn	240	240	240
Rochester	238	238	238
Falls Church	231	231	231
Moline	231	231	231
Auburn Hills	223	223	223
Springdale	223	223	223
Philadelphia	213	213	213
Omaha	213	213	213
Seattle	211	211	211
Wichita	204	204	204
Florham Park	201	201	201
Stamford	200	200	200
Waltham	197	197	197
St. Louis	190	190	190
Phoenix	189	189	189
Purchase	188	188	188
Kansas City	186	186	186
Indianapolis	185	185	185
Tulsa	182	182	182
Troy	179	179	179
Broomfield	174	174	174
Hartford	170	170	170
Louisville	158	158	158
Salt Lake City	157	157	157
Wilmington	156	156	156
Richmond	152	152	152
Grand Rapids	152	152	152
Arlington	149	149	149
Denver	143	143	143
Fort Worth	141	141	141
Greensboro	140	140	140
Irvine	138	138	138
Madison	132	132	132
Farmington	126	126	126
Tampa	123	123	123
Glendale	119	119	119
Birmingham	119	119	119
Wayzata	118	118	118
San Antonio	118	118	118
Oakland	117	117	117
Parsippany	117	117	117
Greenville	116	116	116
Norcross	116	116	116
Plymouth	116	116	116
San Francisco	108	108	108
Stratford	107	107	107
Buffalo	107	107	107
Springfield	106	106	106
Canton	106	106	106
Nashville	104	104	104
Andover	102	102	102
Austin	102	102	102
St. Paul	99	99	99
Columbia	99	99	99
Southfield	98	98	98
Duluth	97	97	97
Akron	95	95	95
Boise	92	92	92
Miami	91	91	91
Memphis	91	91	91
Bellevue	91	91	91
Costa Mesa	90	90	90
Des Plaines	90	90	90
Baltimore	90	90	90
Detroit	88	88	88
Washington	87	87	87
Mason	87	87	87
Dayton	87	87	87
Wood Dale	85	85	85
Pawtucket	85	85	85
Danbury	85	85	85
Carlsbad	84	84	84
Peoria	82	82	82
Dalton	81	81	81
Sunnyvale	79	79	79
Wayne	78	78	78
Santa Ana	78	78	78
Cypress	78	78	78
Providence	78	78	78
Anaheim	77	77	77
East Aurora	76	76	76
Lancaster	76	76	76
Livonia	76	76	76
Winston Salem	75	75	75
El Segundo	74	74	74
East Hartford	74	74	74
Allentown	73	73	73
Fairfax	73	73	73
Orlando	72	72	72
Jackson	71	71	71
Rockford	71	71	71
Wellington	70	70	70
Huntsville	70	70	70
Burlington	69	69	69
Salisbury	69	69	69
Cary	68	68	68
Fremont	68	68	68
Piscataway	68	68	68
Montreal	68	68	68
White Plains	67	67	67
Spartanburg	67	67	67
Toronto	67	67	67
Pasadena	67	67	67
Fort Collins	66	66	66
San Jose	66	66	66
Shrewsbury	66	66	66
Warren	66	66	66
West Chester	66	66	66
Green Bay	66	66	66
Jacksonville	65	65	65
Kenosha	65	65	65
Hawthorne	64	64	64
Ann Arbor	64	64	64
Concord	63	63	63
New Britain	63	63	63
Oklahoma City	63	63	63
Battle Creek	63	63	63
Tucson	62	62	62
Fort Wayne	62	62	62
Fort Lauderdale	61	61	61
Santa Fe Springs	61	61	61
Decatur	60	60	60
Reston	60	60	60
Vernon	59	59	59
Appleton	59	59	59
Olathe	59	59	59
Northbrook	59	59	59
Toledo	59	59	59
Norwood	58	58	58
Manchester	58	58	58
Racine	58	58	58
Milford	58	58	58
Melville	57	57	57
Rockville	57	57	57
Boston	57	57	57
Lexington	56	56	56
Monroe	56	56	56
Vancouver	56	56	56
York	55	55	55
Rancho Cordova	55	55	55
Palatine	55	55	55
Benton Harbor	54	54	54
Aurora	54	54	54
Vernon Hills	53	53	53
Raleigh	53	53	53
Herndon	53	53	53
Mississauga	53	53	53
Salem	53	53	53
Franklin	52	52	52
Elk Grove Village	52	52	52
Camden	51	51	51
Lincolnshire	51	51	51
Thousand Oaks	50	50	50
Bedford	50	50	50
Holland	50	50	50
Framingham	50	50	50
Waukesha	50	50	50
Federal Way	50	50	50
Auburn	49	49	49
Beachwood	49	49	49
Batesville	49	49	49
Hayward	49	49	49
Brooklyn	49	49	49
Lincoln	49	49	49
Corona	48	48	48
St Paul	48	48	48
Roanoke	48	48	48
Newark	48	48	48
Modesto	48	48	48
Solon	47	47	47
Norwalk	47	47	47
Addison	47	47	47
Liberty Lake	47	47	47
Sparks	47	47	47
Danville	47	47	47
Tempe	47	47	47
Corning	47	47	47
Smaller regions (combined)	24,441	24,441	24,441
All states (201)	51,130	51,130	51,130

Manufacturing Units Database — United States

The Manufacturing Units database for United States includes 46,482+ verified businesses with company name, address, city, state, phone, email, website and GPS coordinates. The file is delivered as a CSV ready for CRM import or BI analysis.

How to use this data

Market sizing for a local launch — see how manufacturing units are spread across United States before picking a first city.
Supplier and distributor outreach — open conversations with manufacturing units owners across United States.
Partner recruitment — find manufacturing units in United States that fit a reseller or franchise programme.

Frequently asked about this dataset

How many businesses are in the Manufacturing Units database for United States?

The Manufacturing Units database for United States contains 46,482+ verified businesses as of 2026, each with phone, email, address, website and GPS coordinates. The full record count is shown on this page above.

Where can I download a Manufacturing Units database for United States?

The complete Manufacturing Units database for United States is available on this page from Data2Sales AI as an instant CSV download. Every record carries verified contact details and is delivered immediately after checkout.

What fields are included in the Manufacturing Units dataset?

Each record includes: Business name, Street address, City, State / Region, Postal code, Country, Phone number, Email address and more. The file is delivered as a UTF-8 CSV that opens in Excel, Google Sheets or any standard CRM importer.

How accurate is the Manufacturing Units data for United States?

Every record is cross-referenced across public business registries, Google Maps and licensed directory partners before it ships. Closed businesses, disconnected phones and duplicates are stripped on every monthly refresh, so the dataset reflects the live manufacturing units footprint in United States.

Is the Manufacturing Units dataset updated regularly?

Yes. The Manufacturing Units dataset is rebuilt on a rolling 30-day cycle. New entrants come in through registrar filings; closures are detected from negative signals and dropped before export.

Can I use the Manufacturing Units data for marketing and outreach?

Yes — the dataset is licensed for commercial use after purchase. Common use cases include cold outbound, geo-targeted advertising, market research, supplier sourcing and territory planning. Only publicly listed business contact information is included.

What format do I receive the Manufacturing Units database in?

You receive a UTF-8 encoded CSV. It opens in Excel, Google Sheets, Power BI, Looker Studio and every major CRM (HubSpot, Salesforce, Zoho, Pipedrive). XLSX is available on request.

How quickly can I download the dataset after purchase?

Within 30 seconds of successful payment. The CSV is generated fresh from the live database at purchase time. You also get 7 days of unlimited re-downloads from a secure link sent to your email.

About the Manufacturing Units Database in United States

This Manufacturing Units list covers 46,482+ verified records operating in United States. Every entry is compiled by the Data2Sales AI engine from multiple verified sources, de-duplicated against our master index, and refreshed each month — saving sales, marketing, and research teams the manual cleanup normally needed before outreach.